Model17
Several authors
Created: 12-04-2024. Last modified: 02-05-2024.
Let us set some global options for all code chunks in this document.
knitr::opts_chunk$set(
message = FALSE, # Disable messages printed by R code chunks
warning = FALSE, # Disable warnings printed by R code chunks
echo = TRUE, # Show R code within code chunks in output
include = TRUE, # Include both R code and its results in output
eval = TRUE, # Evaluate R code chunks
cache = FALSE, # Enable caching of R code chunks for faster rendering
fig.align = "center",
out.width = "100%",
retina = 2,
error = TRUE,
collapse = TRUE
)
rm(list = ls())
set.seed(1982)1 Preprocessing
Let us now load some required libraries.
# Load required libraries
# inla.upgrade(testing = TRUE)
# remotes::install_github("inlabru-org/inlabru", ref = "devel")
# remotes::install_github("davidbolin/rspde", ref = "devel")
# remotes::install_github("davidbolin/metricgraph", ref = "devel")
# remotes::install_github("davidbolin/ngme2", ref = "devel")
library(INLA)
#inla.setOption(num.threads = 7)
library(inlabru)
library(rSPDE)
library(MetricGraph)
library(ngme2)
library(plotly)
library(dplyr)
library(sf)
library(here)Function standarize() below is later used to standardize
the covariate SpeedLimit.
standardize <- function(x) {return((x - mean(x)) / sd(x))}To keep track of the changes, we provide summaries of every new created object. Those summaries can be accessed by pressing the Show buttons below
We load the graph object sf_graph (which only contains
weights) and the data (already graph-processed).
load(here("Graph_objects/graph_construction_30_04_2024partialtomtomwhichlonglatsf.RData"))
load(here("Data_files/data_day7142128_hour13_with_no_consecutive_zeros_partialtomtom_graph_30_04_2024_processed.RData"))
data_on_graph = data_on_graph %>%
dplyr::select(-datetime)sf_graph$get_edge_lengths() %>% head() %>% capture.output() %>% grep("^Units:", ., value = TRUE)
## [1] "Units: [km]"summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data: The graph has no data!
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.000 Min. :0.000000
## 1st Qu.:6571 1st Qu.: 1.609 1st Qu.:2.000 1st Qu.:0.001655
## Median :6687 Median :14.484 Median :3.000 Median :0.003552
## Mean :7106 Mean :15.142 Mean :2.556 Mean :0.004470
## 3rd Qu.:7281 3rd Qu.:24.140 3rd Qu.:4.000 3rd Qu.:0.006153
## Max. :8969 Max. :99.779 Max. :4.000 Max. :0.019991
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:39575 Min. :-122.4
## 1st Qu.:1420 1st Qu.:0.2717 Class :character 1st Qu.:-122.4
## Median :2881 Median :0.5140 Mode :character Median :-122.4
## Mean :3091 Mean :0.5080 Mean :-122.4
## 3rd Qu.:4753 3rd Qu.:0.7493 3rd Qu.:-122.4
## Max. :6826 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81The following commands remove zero speed observations that are 1m away from the graph, and after that, they remove any speed observations that are 3m away from the graph.
to_remove = data_on_graph %>%
filter(speed == 0, .distance_to_graph > 0.001)
data_on_graph = setdiff(data_on_graph, to_remove) %>%
filter(.distance_to_graph <= 0.003)summary(to_remove)
## ID speed day .distance_to_graph .edge_number
## Min. :5701 Min. :0 Min. :1.000 Min. :0.001001 Min. : 1
## 1st Qu.:6574 1st Qu.:0 1st Qu.:2.000 1st Qu.:0.002757 1st Qu.:1382
## Median :6688 Median :0 Median :3.000 Median :0.004562 Median :2788
## Mean :7078 Mean :0 Mean :2.556 Mean :0.005454 Mean :3031
## 3rd Qu.:7277 3rd Qu.:0 3rd Qu.:4.000 3rd Qu.:0.007129 3rd Qu.:4715
## Max. :8969 Max. :0 Max. :4.000 Max. :0.019988 Max. :6812
## .distance_on_edge .group .coord_x .coord_y
## Min. :0.0000 Length:8596 Min. :-122.4 Min. :37.77
## 1st Qu.:0.3069 Class :character 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5297 Mode :character Median :-122.4 Median :37.79
## Mean :0.5170 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7354 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :0.9999 Max. :-122.4 Max. :37.81
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.00 Min. :0.0000000
## 1st Qu.:6565 1st Qu.: 9.656 1st Qu.:2.00 1st Qu.:0.0005833
## Median :6683 Median :19.312 Median :3.00 Median :0.0012615
## Mean :7115 Mean :19.383 Mean :2.55 Mean :0.0013510
## 3rd Qu.:7286 3rd Qu.:27.359 3rd Qu.:4.00 3rd Qu.:0.0021075
## Max. :8969 Max. :99.779 Max. :4.00 Max. :0.0029999
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:14535 Min. :-122.4
## 1st Qu.:1376 1st Qu.:0.2549 Class :character 1st Qu.:-122.4
## Median :2956 Median :0.5135 Mode :character Median :-122.4
## Mean :3130 Mean :0.5096 Mean :-122.4
## 3rd Qu.:4803 3rd Qu.:0.7693 3rd Qu.:-122.4
## Max. :6817 Max. :0.9999 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81We add data to the graph.
sf_graph$add_observations(data = data_on_graph,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,535 × 9
## ID speed day .distance_to_graph .coord_x .coord_y .edge_number
## <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 6666 0 1 0.00100 -122. 37.8 1
## 2 8941 12.9 1 0.00230 -122. 37.8 4
## 3 8768 24.1 1 0.00233 -122. 37.8 6
## 4 8929 32.2 1 0.00151 -122. 37.8 6
## 5 8965 0 1 0.000647 -122. 37.8 9
## 6 8965 19.3 1 0.00170 -122. 37.8 14
## 7 8954 22.5 1 0.00103 -122. 37.8 14
## 8 8774 19.3 1 0.00279 -122. 37.8 14
## 9 6655 30.6 1 0.00208 -122. 37.8 18
## 10 6677 14.5 1 0.000436 -122. 37.8 20
## # ℹ 14,525 more rows
## # ℹ 2 more variables: .distance_on_edge <dbl>, .group <chr>
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the values of the weights at data locations. This essentially gives us covariates from the weights.
sf_graph$edgeweight_to_data(data_loc = TRUE)sf_graph$get_data()
## # A tibble: 57,112 × 54
## ID speed day .distance_to_graph Length FRC SpeedLimit StreetName
## <int> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
## 1 NA NA NA NA 0.0361 5 40 Harrison St
## 2 NA NA NA NA 0.0361 5 40 Harrison St
## 3 NA NA NA NA 0.0361 5 40 Harrison St
## 4 6666 0 1 0.00100 0.0361 5 40 Harrison St
## 5 NA NA NA NA 0.0361 5 40 Harrison St
## 6 NA NA NA NA 0.0361 5 40 Harrison St
## 7 NA NA NA NA 0.0361 5 40 Harrison St
## 8 NA NA NA NA 0.0361 5 40 Harrison St
## 9 NA NA NA NA 0.0361 5 40 Harrison St
## 10 8941 12.9 1 0.00230 0.112 6 35 Rhode Island St
## # ℹ 57,102 more rows
## # ℹ 46 more variables: harmonicAverageSpeed <dbl>, medianSpeed <dbl>,
## # averageSpeed <dbl>, sampleSize <int>, averageTravelTime <dbl>,
## # medianTravelTime <dbl>, travelTimeRatio <dbl>, List_Number <int>,
## # `5percentile` <int>, `10percentile` <int>, `15percentile` <int>,
## # `20percentile` <int>, `25percentile` <int>, `30percentile` <int>,
## # `35percentile` <int>, `40percentile` <int>, `45percentile` <int>, …
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0When running
sf_graph$edgeweight_to_data(data_loc = TRUE), some
NA values are created (because the data is grouped). We
remove them below. We also standardize the SpeedLimit
covariate.
data = sf_graph$get_data() %>%
drop_na(-StreetName) %>% # this drops all rows with at least one NA value but without taking into account StreetName
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr::select(speed, SpeedLimit)The code of chunk below was executed only one time.
{r, eval = FALSE}
aux = data |>
rename(distance_on_edge = .distance_on_edge, edge_number = .edge_number) |>
as.data.frame() |>
dplyr::select(edge_number, distance_on_edge, .group)
distmatrixlist = list()
for (i in 1:4) {
distmatrixlist[[i]] = sf_graph$compute_geodist_PtE(PtE = aux %>%
filter(.group == as.character(i)) %>%
dplyr::select(-.group),
normalized = TRUE,
include_vertices = FALSE)
}
save(distmatrixlist, file = here("Models_output/distmatrixfixed30_04_2024.RData"))The code of chunk above was executed only one time.
summary(data)
## speed SpeedLimit .group .edge_number
## Min. : 0.000 Min. :-2.3744 Length:14535 Min. : 1
## 1st Qu.: 9.656 1st Qu.:-0.1006 Class :character 1st Qu.:1376
## Median :19.312 Median :-0.1006 Mode :character Median :2956
## Mean :19.383 Mean : 0.0000 Mean :3130
## 3rd Qu.:27.359 3rd Qu.:-0.1006 3rd Qu.:4803
## Max. :99.779 Max. : 6.6176 Max. :6817
## .distance_on_edge .coord_x .coord_y
## Min. :0.0000 Min. :-122.4 Min. :37.77
## 1st Qu.:0.2549 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5135 Median :-122.4 Median :37.79
## Mean :0.5096 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7693 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :0.9999 Max. :-122.4 Max. :37.81We add the data again but now with the new standardized
SpeedLimit covariate.
sf_graph$add_observations(data = data,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,535 × 7
## speed SpeedLimit .coord_x .coord_y .edge_number .distance_on_edge .group
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
## 1 0 -0.101 -122. 37.8 1 0.437 1
## 2 12.9 -0.617 -122. 37.8 4 0.144 1
## 3 24.1 -0.617 -122. 37.8 6 0.252 1
## 4 32.2 -0.617 -122. 37.8 6 0.658 1
## 5 0 -0.927 -122. 37.8 9 0.601 1
## 6 19.3 -0.927 -122. 37.8 14 0.0247 1
## 7 22.5 -0.927 -122. 37.8 14 0.362 1
## 8 19.3 -0.927 -122. 37.8 14 0.832 1
## 9 30.6 -0.927 -122. 37.8 18 0.358 1
## 10 14.5 -0.927 -122. 37.8 20 0.309 1
## # ℹ 14,525 more rows
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We build a mesh.
h = 0.05
sf_graph$build_mesh(h = h)summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh:
## Max h_e: 0.04999798 ; Min n_e: 0
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the value of the weights at mesh locations. This will allow us
to built matrices B.sigma and B.range below.
Again,
sf_graph$edgeweight_to_data(mesh = TRUE, add = FALSE, return = TRUE)
creates repeated information (because the data is grouped). We fix that
by filtering one group. We also standardize the SpeedLimit
covariate.
mesh = sf_graph$edgeweight_to_data(mesh = TRUE,
add = FALSE,
return = TRUE) %>%
filter(.group == 1) %>%
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr:::select.data.frame(SpeedLimit)summary(mesh)
## SpeedLimit
## Min. :-1.9800
## 1st Qu.:-0.1744
## Median :-0.1744
## Mean : 0.0000
## 3rd Qu.:-0.1744
## Max. : 5.16041.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_stat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 21507
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 21507
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 21507
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. ..$ rspde.order: int 2
## .. .. ..$ doubles :List of 11
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ start.nu : num 0.75
## .. .. ..$ characters:List of 5
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 2
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:2] 0 0.223
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:2] 0 0.223
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_stat <- graph_data_rspde(rspde_model_stat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14535] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14535] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14535] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14535] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14535] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14535] "1" "1" "1" "1" ...
## ..$ loc : num [1:14535, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14535] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:87210] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:86029] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14535 86028
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:87210] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "T",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 20.79 3.41
## ..$ sd : num [1:2] 0.333 0.223
## ..$ 0.025quant: num [1:2] 20.14 2.96
## ..$ 0.5quant : num [1:2] 20.79 3.41
## ..$ 0.975quant: num [1:2] 21.45 3.83
## ..$ mode : num [1:2] 20.79 3.41
## ..$ kld : num [1:2] 1.72e-08 1.57e-07
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 19.4 19.6 19.8 20 20.1 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 2.49 2.6 2.73 2.89 2.96 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55547 -55543
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14535] 0.00705 0.03728 0.038 0.0337 0.02467 ...
## $ waic :List of 4
## ..$ waic : num 108050
## ..$ p.eff : num 2734
## ..$ local.waic : num [1:14535] 10.96 6.87 6.78 7.38 8.73 ...
## ..$ local.p.eff: num [1:14535] 0.525 0.145 0.121 0.302 0.661 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14535] -2.068 -0.756 0.328 0 -1.331 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 86028 obs. of 8 variables:
## .. ..$ ID : num [1:86028] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:86028] -1.7804 -1.5976 -0.1086 0.0355 -0.0831 ...
## .. ..$ sd : num [1:86028] 5.11 4.03 4.82 5.58 6.07 ...
## .. ..$ 0.025quant: num [1:86028] -11.81 -9.5 -9.57 -10.92 -11.99 ...
## .. ..$ 0.5quant : num [1:86028] -1.7774 -1.5959 -0.1073 0.0357 -0.0825 ...
## .. ..$ 0.975quant: num [1:86028] 8.23 6.3 9.34 10.99 11.82 ...
## .. ..$ mode : num [1:86028] -1.7773 -1.5958 -0.1073 0.0357 -0.0825 ...
## .. ..$ kld : num [1:86028] 1.15e-10 7.29e-11 7.20e-10 4.05e-10 4.44e-10 ...
## $ marginals.random :List of 1
## ..$ field:List of 86028
## .. ..$ index.1 : num [1:43, 1:2] -23.7 -20.9 -17.6 -13.7 -11.8 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -18.9 -16.6 -14.1 -11 -9.5 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -20.86 -18.18 -15.09 -11.35 -9.57 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -24 -20.9 -17.3 -13 -10.9 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.5 : num [1:43, 1:2] -26.2 -22.8 -18.9 -14.2 -12 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.6 : num [1:43, 1:2] -26.4 -23.2 -19.5 -15.1 -12.9 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.7 : num [1:43, 1:2] -19.15 -16.6 -13.64 -10.06 -8.35 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.8 : num [1:43, 1:2] -17.17 -14.92 -12.32 -9.17 -7.66 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.9 : num [1:43, 1:2] -24.4 -21.3 -17.7 -13.3 -11.3 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.10 : num [1:43, 1:2] -24.1 -21 -17.4 -13.1 -11 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.11 : num [1:43, 1:2] -32.3 -28.1 -23.3 -17.4 -14.6 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.12 : num [1:43, 1:2] -36.5 -31.7 -26.3 -19.6 -16.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.15 : num [1:43, 1:2] -21.6 -18.84 -15.66 -11.81 -9.96 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. ..$ index.17 : num [1:43, 1:2] -18.63 -16.13 -13.23 -9.71 -8.03 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.20 : num [1:43, 1:2] -29.5 -25.7 -21.2 -15.9 -13.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.21 : num [1:43, 1:2] -37 -32.2 -26.6 -19.9 -16.7 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.22 : num [1:43, 1:2] -29 -25.2 -20.8 -15.5 -12.9 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.26 : num [1:43, 1:2] -22.39 -19.4 -15.94 -11.74 -9.73 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.27 : num [1:43, 1:2] -28.9 -25.2 -20.9 -15.7 -13.2 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.34 : num [1:43, 1:2] -24.8 -21.8 -18.3 -14 -11.9 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## ..$ kld : num [1:100565] 4.92e-11 3.11e-11 3.40e-11 3.87e-11 7.49e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 100565 obs. of 6 variables:
## ..$ mean : num [1:100565] 17.8 14.95 23.3 27.68 9.56 ...
## ..$ sd : num [1:100565] 3.61 5.91 5.87 6.45 6.17 ...
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## $ summary.hyperpar :'data.frame': 5 obs. of 6 variables:
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## ..$ sd : num [1:5] 0.000226 1.915812 0.05298 0.151798 0.159793
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## $ internal.summary.hyperpar :'data.frame': 5 obs. of 6 variables:
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## ..$ sd : num [1:5] 0.0181 0.1548 0.053 0.1518 0.1597
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## ..$ mode : num [1:5] -4.4 2.35 2.96 -1.4 -2.04
## $ internal.marginals.hyperpar:List of 5
## ..$ log precision for the student-t observations: num [1:43, 1:2] -4.45 -4.44 -4.43 -4.42 -4.42 ...
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## ..$ dof_intern for student-t : num [1:43, 1:2] 2 2.05 2.1 2.17 2.2 ...
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## ..$ Theta1 for field : num [1:43, 1:2] 2.75 2.77 2.81 2.84 2.86 ...
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## $ offset.linear.predictor : num [1:100565] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
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## $ size.spde3.blc : NULL
## $ logfile : chr [1:5884] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:5, 1:5] 2.78e-04 2.54e-04 5.95e-06 -4.37e-04 -1.50e-04 ...
## ..$ cor.intern : num [1:5, 1:5] 1 0.11228 0.00648 -0.17022 -0.05694 ...
## ..$ cov.intern.eigenvalues : num [1:5] 0.000188 0.00037 0.017853 0.025913 0.025913
## ..$ cov.intern.eigenvectors : num [1:5, 1:5] 0.756 -0.00871 -0.61496 0.18612 -0.1248 ...
## ..$ reordering : int [1:86030] 57116 57117 53420 53432 53413 53635 53616 53617 64381 64380 ...
## ..$ theta.tags : chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ log.posterior.mode : num -55534
## ..$ stdev.corr.negative : num [1:5] 0.579 1.314 0.577 0.847 1.18
## ..$ stdev.corr.positive : num [1:5] 1.727 0.761 1.733 1.18 0.847
## ..$ to.theta :List of 5
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ from.theta :List of 5
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:5, 1:5] -0.56172 0.7745 -0.00718 -0.1741 -0.23292 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:5] "theta:1" "theta:2" "theta:3" "theta:4" ...
## .. .. ..$ : chr [1:5] "dir:1" "dir:2" "dir:3" "dir:4" ...
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14535
## .. ..$ npred : int 86030
## .. ..$ mnpred : int 100565
## .. ..$ Npred : int 14535
## .. ..$ n : int 86030
## .. ..$ nz : int 656168
## .. ..$ prior_nz : int 542050
## .. ..$ ntheta : int 5
## .. ..$ nconfig : int 27
## .. ..$ offsets : num [1:100565] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 14536 100566 186594 186595
## .. .. ..$ length: int [1:5] 14535 86030 86028 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:86030] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:86030] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:86030] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:116238] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:116238] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14535 86030
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:116238] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 27
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.41 2.89 -1.32 -1.75
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.22
## .. .. .. ..$ log.posterior.orig: num -0.627
## .. .. .. ..$ mean : num [1:86030] -1.7621 -1.5153 -0.0679 0.0522 -0.0517 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.7535 -1.5069 -0.0664 0.0539 -0.0506 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0555 -0.015 0.1287 0.1298 -0.0463 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 24.63 7.12 15.17 20.77 15.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0438 -0.0202 0.0925 0.1298 -0.0463 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2035 -0.0316 0.0136 0.0681 -0.1333 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.77 14.92 23.25 27.66 9.51 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7671 3.479 -1.7535 -1.5069 -0.0664 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.37 2.41 2.86 -1.31 -1.76
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11.6
## .. .. .. ..$ log.posterior.orig: num -8.37
## .. .. .. ..$ mean : num [1:86030] -1.6395 -1.4706 -0.0726 0.0498 -0.0548 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.631 -1.4624 -0.0711 0.0516 -0.0536 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0595 -0.0167 0.1378 0.1411 -0.0504 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 22.93 6.68 14.14 19.3 14.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0475 -0.022 0.1003 0.1411 -0.0504 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.211 -0.0334 0.015 0.0728 -0.1411 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.9 14.95 23.2 27.54 9.71 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7538 3.5024 -1.631 -1.4624 -0.0711 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.41 2.9 -1.33 -1.75
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.4
## .. .. .. ..$ log.posterior.orig: num -2.13
## .. .. .. ..$ mean : num [1:86030] -1.7964 -1.5263 -0.0664 0.0527 -0.0507 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.7877 -1.5179 -0.0649 0.0545 -0.0496 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0543 -0.0145 0.1261 0.1267 -0.0452 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 25.17 7.26 15.5 21.22 16.13 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0428 -0.0197 0.0903 0.1267 -0.0452 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.201 -0.031 0.0132 0.0666 -0.1309 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.73 14.91 23.26 27.69 9.45 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7712 3.4711 -1.7877 -1.5179 -0.0649 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.44 2.41 2.87 -1.32 -1.75
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.6
## .. .. .. ..$ log.posterior.orig: num -3.33
## .. .. .. ..$ mean : num [1:86030] -1.6079 -1.4694 -0.0724 0.0487 -0.0541 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.5996 -1.4613 -0.071 0.0505 -0.053 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0578 -0.0163 0.1334 0.1375 -0.0491 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 23.54 6.83 14.5 19.73 15.04 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0463 -0.0215 0.0979 0.1375 -0.0491 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2008 -0.0319 0.0149 0.07 -0.1345 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.92 14.99 23.14 27.41 9.87 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.743 3.527 -1.6 -1.461 -0.071 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.37 2.41 2.94 -1.33 -1.74
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.73
## .. .. .. ..$ log.posterior.orig: num -4.46
## .. .. .. ..$ mean : num [1:86030] -2.0346 -1.5858 -0.0599 0.0577 -0.0474 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.0254 -1.577 -0.0585 0.0595 -0.0463 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0518 -0.0129 0.1214 0.1177 -0.0419 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.62 7.65 16.4 22.67 17.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0398 -0.0183 0.084 0.1177 -0.0419 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2082 -0.031 0.0116 0.0647 -0.1308 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.51 14.81 23.41 28.07 8.88 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.8084 3.3937 -2.0254 -1.577 -0.0585 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.96 2.85 -1.45 -1.69
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.01
## .. .. .. ..$ log.posterior.orig: num -5.74
## .. .. .. ..$ mean : num [1:86030] -1.9985 -1.5911 -0.0384 0.0537 -0.0288 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.9933 -1.5861 -0.0378 0.0545 -0.0283 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0564 -0.0132 0.1297 0.1279 -0.0446 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 23.5 6.1 14.1 18.9 13.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0442 -0.0195 0.0931 0.1279 -0.0446 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2065 -0.0307 0.0148 0.0661 -0.1277 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.38 15.04 23.09 27.45 9.54 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.751 3.5854 -1.9933 -1.5861 -0.0378 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.42 2.23 2.91 -1.28 -1.77
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.54
## .. .. .. ..$ log.posterior.orig: num -2.27
## .. .. .. ..$ mean : num [1:86030] -1.6462 -1.4615 -0.0809 0.0489 -0.062 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.6362 -1.4518 -0.079 0.0512 -0.0605 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0554 -0.0157 0.129 0.1312 -0.0471 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 24.9 7.45 15.47 21.32 16.38 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0439 -0.0206 0.0929 0.1312 -0.0471 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2021 -0.0321 0.0132 0.0691 -0.1359 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.94 14.88 23.31 27.75 9.49 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.773 3.441 -1.636 -1.452 -0.079 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.33 2.83 -1.72 -1.98
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11
## .. .. .. ..$ log.posterior.orig: num -7.71
## .. .. .. ..$ mean : num [1:86030] -2.1109 -1.5517 -0.0194 0.0583 -0.0142 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.1031 -1.5437 -0.0187 0.0592 -0.0138 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0518 -0.0111 0.1205 0.1111 -0.0371 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 24 5.11 13.53 18.72 13.06 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0401 -0.0162 0.084 0.1111 -0.0371 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.203 -0.0339 0.0189 0.072 -0.1317 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 15.02 22.93 27.5 9.18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.6524 3.8866 -2.1031 -1.5437 -0.0187 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.42 2.46 2.94 -1.04 -1.58
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.25
## .. .. .. ..$ log.posterior.orig: num -1.98
## .. .. .. ..$ mean : num [1:86030] -1.40346 -1.39569 -0.13271 0.00714 -0.10271 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.39508 -1.38767 -0.13068 0.00961 -0.10102 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0625 -0.0196 0.1438 0.1556 -0.0571 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 23.68 8.28 15.63 20.81 16.55 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0508 -0.0249 0.1078 0.1556 -0.0571 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2044 -0.0314 0.0111 0.0678 -0.1366 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.99 14.95 23.4 27.61 9.93 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.849 3.189 -1.395 -1.388 -0.131 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.34 2.79 -1.46 -1.47
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -8.47
## .. .. .. ..$ log.posterior.orig: num -5.21
## .. .. .. ..$ mean : num [1:86030] -1.611 -1.2513 -0.0235 0.0481 -0.0182 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.6048 -1.2453 -0.0228 0.049 -0.0177 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0641 -0.0174 0.1464 0.1499 -0.0517 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 20.47 5.34 12.2 15.43 11.21 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0524 -0.0226 0.1102 0.1499 -0.0517 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2028 -0.0319 0.015 0.0692 -0.1327 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.75 14.91 23.17 27.65 9.36 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7135 3.6495 -1.6048 -1.2453 -0.0228 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.5 3.03 -1.13 -2.14
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -4.34
## .. .. .. ..$ log.posterior.orig: num -1.08
## .. .. .. ..$ mean : num [1:86030] -1.579 -1.689 -0.218 -0.03 -0.168 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.5683 -1.6787 -0.2155 -0.0265 -0.1651 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.054 -0.0156 0.1258 0.1301 -0.048 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.55 8.72 17.08 25.79 20.65 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0422 -0.0209 0.0897 0.1301 -0.048 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2057 -0.0331 0.0119 0.0694 -0.1383 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18 15.1 23.3 27.5 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.829 3.267 -1.568 -1.679 -0.215 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.32 2.9 -1.25 -1.55
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.86
## .. .. .. ..$ log.posterior.orig: num -3.59
## .. .. .. ..$ mean : num [1:86030] -1.6498 -1.3822 -0.0623 0.048 -0.0489 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.6414 -1.3742 -0.0609 0.0498 -0.0478 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0587 -0.0168 0.1358 0.1401 -0.0502 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 23.89 7.33 15.02 19.75 15.14 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.047 -0.0219 0.0994 0.1401 -0.0502 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2039 -0.0309 0.0117 0.0664 -0.1331 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.78 14.82 23.39 27.89 9.28 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.8034 3.3619 -1.6414 -1.3742 -0.0609 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.34 2.96 -1.4 -2.03
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -3.27
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:86030] -1.9858 -1.6631 -0.0785 0.0586 -0.0598 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.9751 -1.6527 -0.0767 0.0608 -0.0584 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0497 -0.0124 0.1169 0.1126 -0.0402 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 27.09 7.48 16.42 23.85 18.13 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.038 -0.0175 0.0803 0.1126 -0.0402 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2044 -0.0322 0.0136 0.0678 -0.1331 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.7 14.9 23.27 27.81 9.24 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7655 3.5065 -1.9751 -1.6527 -0.0767 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.72 2.98 -1.17 -1.82
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.02
## .. .. .. ..$ log.posterior.orig: num -1.75
## .. .. .. ..$ mean : num [1:86030] -1.8955 -1.6934 -0.1224 0.0264 -0.0944 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.8873 -1.6855 -0.1208 0.0285 -0.0931 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0533 -0.014 0.1239 0.125 -0.0455 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.88 8.54 17.21 24.41 19.15 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0412 -0.0199 0.0873 0.125 -0.0455 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.207 -0.0306 0.011 0.0645 -0.1308 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.58 14.95 23.39 27.73 9.54 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.847 3.254 -1.887 -1.685 -0.121 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.39 2.59 2.83 -1.62 -1.7
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.92
## .. .. .. ..$ log.posterior.orig: num -4.65
## .. .. .. ..$ mean : num [1:86030] -2.1439 -1.5113 -0.0162 0.0525 -0.0127 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.1377 -1.5051 -0.0156 0.0532 -0.0123 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0538 -0.0113 0.1244 0.1163 -0.039 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 23.69 5.34 13.63 18.15 12.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0418 -0.0171 0.0876 0.1163 -0.039 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2052 -0.0317 0.0157 0.0664 -0.1263 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.32 14.96 23.09 27.71 8.95 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7089 3.7495 -2.1377 -1.5051 -0.0156 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.39 2.97 -1.09 -1.86
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.1
## .. .. .. ..$ log.posterior.orig: num -1.83
## .. .. .. ..$ mean : num [1:86030] -1.49051 -1.54156 -0.17083 -0.00467 -0.13136 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.4801 -1.5315 -0.1682 -0.0015 -0.1291 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0562 -0.0169 0.1304 0.1371 -0.0504 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 25.79 8.67 16.74 23.84 18.99 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0447 -0.022 0.0949 0.1371 -0.0504 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2017 -0.0321 0.0116 0.0684 -0.1363 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.04 15 23.36 27.55 9.99 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.829 3.254 -1.48 -1.531 -0.168 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.26 2.82 -1.54 -1.74
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -8.81
## .. .. .. ..$ log.posterior.orig: num -5.54
## .. .. .. ..$ mean : num [1:86030] -1.8316 -1.4266 -0.0282 0.0568 -0.0212 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.8238 -1.4189 -0.0273 0.0579 -0.0205 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0556 -0.0139 0.1285 0.1255 -0.0431 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 23.17 5.68 13.54 18.11 13.07 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0441 -0.0188 0.0927 0.1255 -0.0431 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1999 -0.0325 0.0164 0.0701 -0.1319 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.76 14.95 23.08 27.59 9.32 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.6875 3.7376 -1.8238 -1.4189 -0.0273 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.65 2.84 -1.31 -1.52
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.28
## .. .. .. ..$ log.posterior.orig: num -4.01
## .. .. .. ..$ mean : num [1:86030] -1.6154 -1.3841 -0.0491 0.0468 -0.0372 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.6094 -1.3783 -0.0482 0.048 -0.0365 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0626 -0.0176 0.1431 0.1499 -0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 21.83 6.34 13.51 17.44 13.16 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0509 -0.0232 0.1074 0.1499 -0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2027 -0.0305 0.0139 0.0672 -0.1309 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.7 14.98 23.17 27.45 9.76 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7626 3.4896 -1.6094 -1.3783 -0.0482 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.42 2.67 2.9 -1.47 -2
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.92
## .. .. .. ..$ log.posterior.orig: num -2.65
## .. .. .. ..$ mean : num [1:86030] -1.9827 -1.6916 -0.0615 0.0583 -0.0452 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.975 -1.684 -0.0604 0.0597 -0.0443 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0523 -0.0125 0.1212 0.1183 -0.0417 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 25.22 6.55 15.07 21.41 16.01 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0405 -0.0182 0.0853 0.1183 -0.0417 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2031 -0.0317 0.0158 0.0686 -0.1306 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 15.1 23 27.4 9.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7278 3.6275 -1.975 -1.684 -0.0604 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.38 2.39 2.98 -1.09 -1.86
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.59
## .. .. .. ..$ log.posterior.orig: num -2.32
## .. .. .. ..$ mean : num [1:86030] -1.60927 -1.57214 -0.16727 -0.00116 -0.13007 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.5985 -1.56177 -0.1646 0.00208 -0.12783 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0558 -0.0163 0.1302 0.1345 -0.0494 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.08 8.77 16.94 24.26 19.32 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0439 -0.0216 0.0931 0.1345 -0.0494 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2094 -0.0329 0.0108 0.0689 -0.1396 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.94 14.93 23.45 27.77 9.67 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.852 3.205 -1.598 -1.562 -0.165 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.37 2.26 2.83 -1.54 -1.73
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.44
## .. .. .. ..$ log.posterior.orig: num -6.17
## .. .. .. ..$ mean : num [1:86030] -1.9459 -1.4505 -0.0262 0.0587 -0.0203 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.9378 -1.4425 -0.0253 0.0599 -0.0197 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.055 -0.0133 0.1279 0.1226 -0.0421 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 23.53 5.76 13.75 18.51 13.35 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0431 -0.0184 0.0906 0.1226 -0.0421 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2074 -0.0333 0.0158 0.0704 -0.1346 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.66 14.88 23.18 27.82 8.99 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7084 3.6974 -1.9378 -1.4425 -0.0253 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.37 2.65 2.85 -1.32 -1.52
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.68
## .. .. .. ..$ log.posterior.orig: num -4.41
## .. .. .. ..$ mean : num [1:86030] -1.7202 -1.41 -0.0468 0.049 -0.0362 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.7141 -1.4041 -0.0458 0.0502 -0.0355 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0622 -0.017 0.1429 0.1472 -0.0522 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 22.08 6.42 13.67 17.73 13.38 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.05 -0.0228 0.1055 0.1472 -0.0522 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2109 -0.0312 0.0132 0.0677 -0.134 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.59 14.91 23.27 27.68 9.45 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7844 3.4434 -1.7141 -1.4041 -0.0458 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.37 2.66 2.91 -1.47 -2
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.33
## .. .. .. ..$ log.posterior.orig: num -4.07
## .. .. .. ..$ mean : num [1:86030] -2.1144 -1.7243 -0.0591 0.0609 -0.0442 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.1064 -1.7166 -0.058 0.0623 -0.0433 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.052 -0.012 0.1213 0.1161 -0.0409 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 25.48 6.62 15.24 21.8 16.29 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0397 -0.0179 0.0837 0.1161 -0.0409 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2113 -0.0325 0.0152 0.0691 -0.1337 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.5 14.99 23.14 27.59 9.38 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.749 3.584 -2.106 -1.717 -0.058 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.32 2.85 -1.23 -1.56
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.53
## .. .. .. ..$ log.posterior.orig: num -4.26
## .. .. .. ..$ mean : num [1:86030] -1.4141 -1.3098 -0.0706 0.0426 -0.0537 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.4062 -1.3021 -0.0691 0.0444 -0.0526 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0644 -0.0197 0.1478 0.1576 -0.0566 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 21.6 6.7 13.6 17.8 13.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ x : num [1:542050] 0.0527 -0.0247 0.1115 0.1576 -0.0566 ...
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## .. .. .. .. ..- attr(*, "dimnames")=List of 2
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7657 3.4367 -1.4062 -1.3021 -0.0691 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. ..$ theta : Named num [1:5] -4.4 2.34 2.9 -1.39 -2.04
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
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## .. .. .. ..$ log.posterior.orig: num -5.09
## .. .. .. ..$ mean : num [1:86030] -1.6944 -1.5727 -0.0878 0.0522 -0.0651 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.6845 -1.563 -0.086 0.0543 -0.0637 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0545 -0.0147 0.1269 0.1271 -0.0454 ...
## .. .. .. .. .. ..@ factors : list()
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 24.58 6.86 14.91 21.43 16.35 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0428 -0.0198 0.0904 0.1271 -0.0454 ...
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## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2054 -0.0337 0.0159 0.073 -0.1393 ...
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## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.96 15 23.12 27.44 9.81 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.728 3.578 -1.684 -1.563 -0.086 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. ..$ theta : Named num [1:5] -4.4 2.72 2.93 -1.16 -1.83
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.1
## .. .. .. ..$ log.posterior.orig: num -2.83
## .. .. .. ..$ mean : num [1:86030] -1.6206 -1.6041 -0.1339 0.0175 -0.1013 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.6128 -1.5966 -0.1322 0.0196 -0.0998 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0584 -0.0167 0.1348 0.141 -0.0514 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 24.37 7.81 15.6 21.92 17.26 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ x : num [1:542050] 0.0464 -0.0225 0.0983 0.141 -0.0514 ...
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## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2085 -0.0321 0.0131 0.0693 -0.1369 ...
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## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.8 15.1 23.2 27.4 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.81 3.33 -1.613 -1.597 -0.132 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.59 2.77 -1.61 -1.71
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.8
## .. .. .. ..$ log.posterior.orig: num -9.5
## .. .. .. ..$ mean : num [1:86030] -1.9095 -1.453 -0.02 0.0511 -0.0147 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.9036 -1.4471 -0.0195 0.0518 -0.0143 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0587 -0.0136 0.1348 0.1307 -0.0441 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 21.53 4.91 12.4 16.37 11.55 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:542050] 0.0468 -0.0192 0.0981 0.1307 -0.0441 ...
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## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.58 15.06 22.93 27.34 9.49 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.6731 3.8139 -1.9036 -1.4471 -0.0195 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. ..$ max.log.posterior: num -55533
## ..$ nfunc : num 3400
## ..$ warnings : chr "Stupid local search strategy used: This is usually a sign of a ill-defined model and/or non-informative data."
## ..$ opt.trace :List of 3
## .. ..$ f : Named num [1:717] 584358 583957 299017 299017 298867 ...
## .. .. ..- attr(*, "names")= chr [1:717] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ nfunc: Named int [1:717] 1 2 7 8 10 14 15 16 21 22 ...
## .. .. ..- attr(*, "names")= chr [1:717] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ theta: num [1:717, 1:5] 3.03e-08 3.03e-08 -8.82e-01 -8.82e-01 -8.82e-01 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : chr [1:717] "iter1" "iter2" "iter3" "iter4" ...
## .. .. .. ..$ : chr [1:5] "theta1" "theta2" "theta3" "theta4" ...
## ..$ theta.mode : num [1:5] -4.4 2.34 2.96 -1.4 -2.03
## ..$ linkfunctions :List of 2
## .. ..$ names: chr "identity"
## .. ..$ link : int [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ family : int [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## $ dic :List of 14
## ..$ dic : num 107972
## ..$ p.eff : num 3086
## ..$ mean.deviance : num 104885
## ..$ deviance.mean : num 101799
## ..$ dic.sat : num -82876
## ..$ mean.deviance.sat: num -85963
## ..$ deviance.mean.sat: num -77457
## ..$ family.dic : num 107972
## ..$ family.dic.sat : num -94469
## ..$ family.p.eff : num 3086
## ..$ family : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ local.dic : num [1:14535] 10.43 7.21 7.16 7.58 8.31 ...
## ..$ local.dic.sat : num [1:14535] 4.294 1.074 0.205 -34.96 2.169 ...
## ..$ local.p.eff : num [1:14535] 0.0345 0.5211 0.5219 0.5799 0.4143 ...
## $ mode :List of 5
## ..$ theta : Named num [1:5] -4.4 2.34 2.96 -1.4 -2.03
## .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ x : num [1:186595] 17.77 14.94 23.25 27.67 9.52 ...
## ..$ theta.tags : chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ mode.status : num 0
## ..$ log.posterior.mode: num -55534
## $ joint.hyper :'data.frame': 24 obs. of 7 variables:
## ..$ log precision for the student-t observations: num [1:24] -4.4 -4.41 -4.42 -4.36 -4.39 ...
## ..$ dof_intern for student-t : num [1:24] 2.34 2.34 2.34 2.34 2.89 ...
## ..$ Theta1 for field : num [1:24] 2.96 2.97 2.93 3 2.91 ...
## ..$ Theta2 for field : num [1:24] -1.4 -1.4 -1.39 -1.41 -1.53 ...
## ..$ Theta3 for field : num [1:24] -2.03 -2.03 -2.04 -2.02 -1.98 ...
## ..$ Log posterior density : num [1:24] -55547 -55549 -55550 -55551 -55553 ...
## ..$ Total integration weight (log.dens included): num [1:24] 0.05511 0.04612 0.01388 0.0045 0.00125 ...
## $ nhyper : int 5
## $ version :List of 2
## ..$ inla.call: chr "GITCOMMIT [dd38f0f7c6eb72df31ce7dd489d9352e91ffe0df - Thu Apr 25 18:31:00 2024 +0300]"
## ..$ R.INLA : Named chr "24.04.25-1"
## .. ..- attr(*, "names")= chr "version"
## $ Q : NULL
## $ graph : NULL
## $ ok : logi TRUE
## $ cpu.intern : chr [1:16] "Wall-clock time used on [/tmp/RtmpsXS2lu/file18744e3521e2c7/Model.ini]" "Preparations : 0.252 seconds" "Approx inference (stage1): 1101.510 seconds" "Approx inference (stage2): 0.002 seconds" ...
## $ cpu.used : Named num [1:4] 0.405 1104.123 6.955 1111.483
## ..- attr(*, "names")= chr [1:4] "Pre" "Running" "Post" "Total"
## $ all.hyper :List of 4
## ..$ predictor:List of 1
## .. ..$ hyper:List of 1
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## .. .. .. ..$ hyperid : num 53001
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "loggamma"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1e+00 1e-05
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. ..$ :List of 4
## .. .. ..$ hyperid: chr "INLA.Data1"
## .. .. ..$ label : chr "t"
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## .. .. .. ..$ theta1:List of 11
## .. .. .. .. ..$ hyperid : num 1e+05
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## .. .. .. .. ..$ output.name : chr "precision for the student-t observations"
## .. .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. .. ..$ output.name.intern: chr "log precision for the student-t observations"
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## .. .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..$ short.name : chr "dof"
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## .. .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. .. ..$ output.name.intern: chr "dof_intern for student-t"
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## .. .. .. .. ..$ prior : chr "pc.dof"
## .. .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ hyper: list()
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## .. .. ..$ prior.mean: num 0
## .. .. ..$ prior.prec: num 0.001
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## .. .. ..$ label : chr "SpeedLimit"
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## .. .. ..$ prior.prec: num 0.001
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## $ .args :List of 30
## ..$ formula :Class 'formula' language BRU.response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## ..$ family : chr "t"
## ..$ data :List of 21
## .. ..$ BRU.response : num [1:14535] 0 12.9 24.1 32.2 0 ...
## .. ..$ BRU.E : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:14535] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:86030] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
## .. ..$ BRU_SpeedLimit_values : num 1
## .. ..$ BRU_field_main_model :List of 20
## .. .. ..$ f :List of 3
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## .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
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## .. .. .. .. .. .. ..$ rspde.order: int 2
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## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
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## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
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## .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
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## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
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## .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
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## .. .. .. ..$ name : chr "beta15"
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## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta16 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
## .. .. .. ..$ hyperid : num 103022
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta23 :List of 11
## .. .. .. ..$ hyperid : num 103023
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
## .. .. .. ..$ hyperid : num 103024
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
## .. .. .. ..$ hyperid : num 103025
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
## .. .. .. ..$ hyperid : num 103026
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
## .. .. .. ..$ hyperid : num 103027
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
## .. .. .. ..$ hyperid : num 103028
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
## .. .. .. ..$ hyperid : num 103029
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
## .. .. .. ..$ hyperid : num 103030
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
## .. .. .. ..$ hyperid : num 103031
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
## .. .. .. ..$ hyperid : num 103032
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta40 :List of 11
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## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
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## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
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## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta49 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta68 :List of 11
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## .. .. .. ..$ name : chr "beta68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
## .. .. .. ..$ hyperid : num 103073
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
## .. .. .. ..$ hyperid : num 103074
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta75 :List of 11
## .. .. .. ..$ hyperid : num 103075
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
## .. .. .. ..$ hyperid : num 103076
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
## .. .. .. ..$ hyperid : num 103077
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
## .. .. .. ..$ hyperid : num 103078
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
## .. .. .. ..$ hyperid : num 103079
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
## .. .. .. ..$ hyperid : num 103080
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
## .. .. .. ..$ hyperid : num 103081
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
## .. .. .. ..$ hyperid : num 103082
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
## .. .. .. ..$ hyperid : num 103083
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
## .. .. .. ..$ hyperid : num 103084
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
## .. .. .. ..$ hyperid : num 103085
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ BRU.weights : chr "BRU.weights"
## .. .. .. ..$ BRU.scale : chr "BRU.scale"
## .. .. .. ..$ BRU.offset : chr "BRU.offset"
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## .. .. ..- attr(*, "class")= chr "inla.data.stack.info"
## .. ..$ effects:List of 5
## .. .. ..$ data :'data.frame': 86030 obs. of 9 variables:
## .. .. .. ..$ Intercept : num [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ Intercept.group : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ Intercept.repl : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ SpeedLimit : num [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ SpeedLimit.group: int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ SpeedLimit.repl : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ field : int [1:86030] NA NA 1 2 3 4 5 6 7 8 ...
## .. .. .. ..$ field.group : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. .. .. ..$ field.repl : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. .. ..$ nrow : int 86030
## .. .. ..$ ncol : Named int [1:9] 1 1 1 1 1 1 1 1 1
## .. .. .. ..- attr(*, "names")= chr [1:9] "Intercept" "Intercept.group" "Intercept.repl" "SpeedLimit" ...
## .. .. ..$ names:List of 9
## .. .. .. ..$ Intercept : chr "Intercept"
## .. .. .. ..$ Intercept.group : chr "Intercept.group"
## .. .. .. ..$ Intercept.repl : chr "Intercept.repl"
## .. .. .. ..$ SpeedLimit : chr "SpeedLimit"
## .. .. .. ..$ SpeedLimit.group: chr "SpeedLimit.group"
## .. .. .. ..$ SpeedLimit.repl : chr "SpeedLimit.repl"
## .. .. .. ..$ field : chr "field"
## .. .. .. ..$ field.group : chr "field.group"
## .. .. .. ..$ field.repl : chr "field.repl"
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## .. .. .. ..$ : int 1
## .. .. .. ..$ : int 2
## .. .. .. ..$ : int [1:86028] 3 4 5 6 7 8 9 10 11 12 ...
## .. .. ..- attr(*, "class")= chr "inla.data.stack.info"
## .. ..- attr(*, "class")= chr "inla.data.stack"
## ..$ track :'data.frame': 86036 obs. of 6 variables:
## .. ..$ effect : chr [1:86036] "Intercept" "SpeedLimit" "field" "field" ...
## .. ..$ index : num [1:86036] 1 1 1 2 3 4 5 6 7 8 ...
## .. ..$ iteration : num [1:86036] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ mode : num [1:86036] 20.8052 3.4711 -1.7621 -1.5153 -0.0679 ...
## .. ..$ sd : num [1:86036] 0.333 0.223 5.107 4.029 4.817 ...
## .. ..$ new_linearisation: num [1:86036] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ timings :'data.frame': 2 obs. of 3 variables:
## .. ..$ Task : chr [1:2] "Preprocess" "Run inla()"
## .. ..$ Iteration: num [1:2] 1 1
## .. ..$ Time : 'difftime' num [1:2] 1.21855672995249 18.5264885425568
## .. .. ..- attr(*, "units")= chr "mins"
## $ bru_timings :'data.frame': 3 obs. of 3 variables:
## ..$ Task : chr [1:3] "Preprocess" "Preprocess" "Run inla()"
## ..$ Iteration: num [1:3] 0 1 1
## ..$ Time : 'difftime' num [1:3] 0.057889461517334 73.1134037971497 1111.58931255341
## .. ..- attr(*, "units")= chr "secs"
## $ bru_info :List of 6
## ..$ method : chr "bru"
## ..$ model :List of 2
## .. ..$ effects:List of 3
## .. .. ..$ Intercept :List of 12
## .. .. .. ..$ label : chr "Intercept"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
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## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : num 1
## .. .. .. .. .. ..$ label : chr "Intercept"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "Intercept.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "Intercept.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x639799d072d0>
## .. .. .. ..$ fcall : language "f"(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
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## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ SpeedLimit:List of 12
## .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol SpeedLimit
## .. .. .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x639799cbdd08>
## .. .. .. ..$ fcall : language "f"(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 21507
## .. .. .. .. ..$ values : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x639799c7e6e0>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 86028
## .. .. .. .. .. .. ..$ n_inla : num 86028
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 86028 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 86028
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "T"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x63979a3af2c8>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14535] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14535] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14535] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14535] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14535] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14535] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14535] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14535, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "T"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.25-1"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"stat.time.fin <- Sys.time()
print(stat.time.fin - stat.time.ini)## Time difference of 19.84526 minssummary(rspde_fit_stat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.25-1
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'T'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.405, Running = 1104, Post = 6.95, Total = 1111
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.791 0.333 20.145 20.789 21.451 20.789 0
## SpeedLimit 3.407 0.223 2.964 3.412 3.829 3.414 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## precision for the student-t observations 0.012 0.000 0.012 0.012
## degrees of freedom for student-t 13.678 1.916 11.024 13.340
## Theta1 for field 2.963 0.053 2.862 2.962
## Theta2 for field -1.429 0.152 -1.742 -1.424
## Theta3 for field -2.071 0.160 -2.405 -2.064
## 0.975quant mode
## precision for the student-t observations 0.013 0.012
## degrees of freedom for student-t 18.392 12.303
## Theta1 for field 3.071 2.958
## Theta2 for field -1.145 -1.403
## Theta3 for field -1.777 -2.034
##
## Deviance Information Criterion (DIC) ...............: 107971.97
## Deviance Information Criterion (DIC, saturated) ....: -82876.13
## Effective number of parameters .....................: 3086.49
##
## Watanabe-Akaike information criterion (WAIC) ...: 108049.75
## Effective number of parameters .................: 2733.80
##
## Marginal log-Likelihood: -55543.43
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')fit.rspde = rspde.result(rspde_fit_stat, "field", rspde_model_stat)
summary(fit.rspde)## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 19.390900 1.0247400 17.512600 19.340000 21.533700 19.216100
## range 0.242352 0.0362496 0.175762 0.241075 0.317607 0.239901
## nu 0.169421 0.0235462 0.124622 0.169224 0.216557 0.1702531.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
start.theta = init.vec.theta,
theta.prior.mean = init.vec.theta,
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_nonstat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 21507
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 21507
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 6
## .. .. .. ..$ n : int 21507
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. ..$ rspde_order: int 2
## .. .. .. ..$ matern_par : int 1
## .. .. ..$ doubles :List of 9
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ start.nu : num 0.75
## .. .. .. ..$ start.theta : num [1:4] 2.96 -1.4 0 0
## .. .. .. ..$ theta.prior.mean : num [1:4] 2.96 -1.4 0 0
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 4
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:4] 2.96 -1.4 0 0
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:4] 2.96 -1.4 0 0
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_nonstat <- graph_data_rspde(rspde_model_nonstat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14535] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14535] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14535] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14535] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14535] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14535] "1" "1" "1" "1" ...
## ..$ loc : num [1:14535, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14535] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:87210] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:86029] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14535 86028
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:87210] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "T",
options = list(verbose = FALSE)
)str(rspde_fit_nonstat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 17.08 3.11
## ..$ sd : num [1:2] 0.0972 0.1426
## ..$ 0.025quant: num [1:2] 16.89 2.83
## ..$ 0.5quant : num [1:2] 17.08 3.11
## ..$ 0.975quant: num [1:2] 17.27 3.39
## ..$ mode : num [1:2] 17.08 3.11
## ..$ kld : num [1:2] 5.87e-11 5.52e-11
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 16.7 16.7 16.8 16.9 16.9 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 2.5 2.58 2.67 2.78 2.83 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -108640 -108633
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14535] 0.00517 0.05094 0.02753 0.00878 0.01029 ...
## $ waic :List of 4
## ..$ waic : num 116662
## ..$ p.eff : num 1257
## ..$ local.waic : num [1:14535] 10.68 6.01 7.55 10.03 9.48 ...
## ..$ local.p.eff: num [1:14535] 0.0776 0.0258 0.1805 0.2791 0.1618 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14535] -2.216 -0.404 1.288 0 -1.903 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 86028 obs. of 8 variables:
## .. ..$ ID : num [1:86028] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:86028] 0.124222 0.116687 -0.000051 0.012696 -0.000889 ...
## .. ..$ sd : num [1:86028] 0.91 0.716 0.526 0.591 0.791 ...
## .. ..$ 0.025quant: num [1:86028] -1.66 -1.29 -1.03 -1.15 -1.55 ...
## .. ..$ 0.5quant : num [1:86028] 0.124222 0.116687 -0.000051 0.012696 -0.000889 ...
## .. ..$ 0.975quant: num [1:86028] 1.91 1.52 1.03 1.17 1.55 ...
## .. ..$ mode : num [1:86028] 0.124222 0.116687 -0.000051 0.012696 -0.000889 ...
## .. ..$ kld : num [1:86028] 5.51e-11 5.51e-11 5.51e-11 5.51e-11 5.51e-11 ...
## $ marginals.random :List of 1
## ..$ field:List of 86028
## .. ..$ index.1 : num [1:43, 1:2] -3.75 -3.26 -2.69 -1.99 -1.66 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -2.93 -2.55 -2.1 -1.55 -1.29 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -2.24 -1.96 -1.63 -1.22 -1.03 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -2.51 -2.19 -1.81 -1.36 -1.15 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.5 : num [1:43, 1:2] -3.37 -2.94 -2.45 -1.84 -1.55 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.6 : num [1:43, 1:2] -3.57 -3.12 -2.6 -1.96 -1.66 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.7 : num [1:43, 1:2] -3.23 -2.81 -2.31 -1.71 -1.42 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.8 : num [1:43, 1:2] -3.48 -3 -2.45 -1.78 -1.46 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.9 : num [1:43, 1:2] -2.097 -1.83 -1.521 -1.145 -0.964 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.10 : num [1:43, 1:2] -3.98 -3.47 -2.89 -2.17 -1.83 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.11 : num [1:43, 1:2] -2.85 -2.49 -2.07 -1.56 -1.31 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.12 : num [1:43, 1:2] -3.43 -2.99 -2.49 -1.88 -1.58 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.13 : num [1:43, 1:2] -2.73 -2.38 -1.97 -1.46 -1.22 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.14 : num [1:43, 1:2] -3.02 -2.64 -2.2 -1.66 -1.41 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.15 : num [1:43, 1:2] -2.63 -2.29 -1.9 -1.42 -1.18 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.16 : num [1:43, 1:2] -2.81 -2.44 -2.01 -1.49 -1.24 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
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## .. .. [list output truncated]
## $ size.random :List of 1
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## .. ..$ N : num 21507
## .. ..$ Ntotal: num 86028
## .. ..$ ngroup: num 1
## .. ..$ nrep : num 4
## $ summary.linear.predictor :'data.frame': 100565 obs. of 7 variables:
## ..$ mean : num [1:100565] 17.6 14.8 16.8 17.4 13.3 ...
## ..$ sd : num [1:100565] 1.96 2.06 2.67 3.44 2.51 ...
## ..$ 0.025quant: num [1:100565] 13.7 10.79 11.53 10.63 8.41 ...
## ..$ 0.5quant : num [1:100565] 17.6 14.8 16.8 17.4 13.3 ...
## ..$ 0.975quant: num [1:100565] 21.4 18.9 22 24.1 18.2 ...
## ..$ mode : num [1:100565] 17.6 14.8 16.8 17.4 13.3 ...
## ..$ kld : num [1:100565] 5.53e-11 5.53e-11 5.53e-11 5.53e-11 5.53e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 100565 obs. of 6 variables:
## ..$ mean : num [1:100565] 17.6 14.8 16.8 17.4 13.3 ...
## ..$ sd : num [1:100565] 1.96 2.06 2.67 3.44 2.51 ...
## ..$ 0.025quant: num [1:100565] 13.7 10.79 11.53 10.63 8.41 ...
## ..$ 0.5quant : num [1:100565] 17.6 14.8 16.8 17.4 13.3 ...
## ..$ 0.975quant: num [1:100565] 21.4 18.9 22 24.1 18.2 ...
## ..$ mode : num [1:100565] 17.6 14.8 16.8 17.4 13.3 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 86030
## ..$ N : num 86030
## ..$ Ntotal: num 100565
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 7 obs. of 6 variables:
## ..$ mean : num [1:7] 0.00168 2.13535 2.86143 -1.00012 0.34603 ...
## ..$ sd : num [1:7] 5.63e-07 4.50e-05 3.52e-04 2.80e-04 2.10e-04 ...
## ..$ 0.025quant: num [1:7] 0.00167 2.13527 2.86065 -1.00067 0.34561 ...
## ..$ 0.5quant : num [1:7] 0.00168 2.13535 2.86146 -1.00012 0.34603 ...
## ..$ 0.975quant: num [1:7] 0.00168 2.13544 2.86202 -0.99956 0.34644 ...
## ..$ mode : num [1:7] 0.00168 2.13534 2.86162 -1.00013 0.34604 ...
## $ marginals.hyperpar :List of 7
## ..$ precision for the student-t observations: num [1:43, 1:2] 0.00167 0.00167 0.00167 0.00167 0.00167 ...
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ degrees of freedom for student-t : num [1:43, 1:2] 2.14 2.14 2.14 2.14 2.14 ...
## .. ..- attr(*, "hyperid")= chr "100002|INLA.Data1"
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 2.86 2.86 2.86 2.86 2.86 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] 0.345 0.345 0.345 0.346 0.346 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] 0.429 0.43 0.43 0.43 0.43 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta5 for field : num [1:43, 1:2] 0.122 0.122 0.122 0.123 0.123 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ internal.summary.hyperpar :'data.frame': 7 obs. of 6 variables:
## ..$ mean : num [1:7] -6.392 -2 2.861 -1 0.346 ...
## ..$ sd : num [1:7] 0.000336 0.000332 0.000352 0.00028 0.00021 ...
## ..$ 0.025quant: num [1:7] -6.392 -2 2.861 -1.001 0.346 ...
## ..$ 0.5quant : num [1:7] -6.392 -2 2.861 -1 0.346 ...
## ..$ 0.975quant: num [1:7] -6.391 -1.999 2.862 -1 0.346 ...
## ..$ mode : num [1:7] -6.392 -2 2.862 -1 0.346 ...
## $ internal.marginals.hyperpar:List of 7
## ..$ log precision for the student-t observations: num [1:43, 1:2] -6.39 -6.39 -6.39 -6.39 -6.39 ...
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## .. ..- attr(*, "dimnames")=List of 2
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 2.86 2.86 2.86 2.86 2.86 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
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## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] 0.429 0.43 0.43 0.43 0.43 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta5 for field : num [1:43, 1:2] 0.122 0.122 0.122 0.123 0.123 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:100565] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:2826] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:7, 1:7] 1.32e-07 2.57e-08 3.57e-09 -9.23e-09 1.01e-08 ...
## ..$ cor.intern : num [1:7, 1:7] 1 0.2054 0.0289 -0.0744 0.1222 ...
## ..$ cov.intern.eigenvalues : num [1:7] 4.94e-08 4.55e-08 9.39e-08 1.15e-07 1.02e-07 ...
## ..$ cov.intern.eigenvectors : num [1:7, 1:7] -0.207 0.122 -0.237 -0.363 0.722 ...
## ..$ reordering : int [1:86030] 36761 36739 42746 40348 40290 40326 40367 40469 40318 40319 ...
## ..$ theta.tags : chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ log.posterior.mode : num -108583
## ..$ stdev.corr.negative : num [1:7] 1.214 1.315 0.878 0.565 1.895 ...
## ..$ stdev.corr.positive : num [1:7] 0.824 0.761 1.14 1.769 0.528 ...
## ..$ to.theta :List of 7
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ from.theta :List of 7
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
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## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14535
## .. ..$ npred : int 86030
## .. ..$ mnpred : int 100565
## .. ..$ Npred : int 14535
## .. ..$ n : int 86030
## .. ..$ nz : int 656168
## .. ..$ prior_nz : int 542050
## .. ..$ ntheta : int 7
## .. ..$ nconfig : int 79
## .. ..$ offsets : num [1:100565] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
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## .. .. ..$ length: int [1:5] 14535 86030 86028 1 1
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## .. .. .. ..@ j : int [1:86030] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:86030] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:116238] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:116238] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14535 86030
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## .. .. .. ..@ x : num [1:116238] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 79
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -56
## .. .. .. ..$ log.posterior.orig: num -50.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.14e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.14e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -58.2
## .. .. .. ..$ log.posterior.orig: num -53.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.56e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.56e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.97 -7.75 ...
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## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.97 -7.75 ...
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## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. .. ..$ : NULL
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## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -49.1
## .. .. .. ..$ log.posterior.orig: num -44.8
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.53e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.53e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.92 -7.72 ...
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## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.516 0.279 0.218 ...
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## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
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## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.53e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -59.2
## .. .. .. ..$ log.posterior.orig: num -54.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -4.03e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -4.03e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.327 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -4.03e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.347 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -46.5
## .. .. .. ..$ log.posterior.orig: num -42.1
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.61e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.61e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.836 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.61e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -1.999 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -50.6
## .. .. .. ..$ log.posterior.orig: num -46.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.16e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.16e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.16e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2.001 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -57.6
## .. .. .. ..$ log.posterior.orig: num -53.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.13e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.13e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.13e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -19
## .. .. .. ..$ log.posterior.orig: num -14.6
## .. .. .. ..$ mean : num [1:86030] 1.26e-01 1.18e-01 -7.14e-06 1.28e-02 -8.81e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.26e-01 1.18e-01 -7.14e-06 1.28e-02 -8.81e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.64 -1.36 4.69 13.85 -7.68 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.838 0.329 0.518 0.28 0.219 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.63 -1.36 4.66 13.85 -7.68 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.26e-01 1.18e-01 -7.14e-06 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -65.9
## .. .. .. ..$ log.posterior.orig: num -61.6
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.91e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.91e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.91e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -68.5
## .. .. .. ..$ log.posterior.orig: num -64.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.56e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.56e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.56e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -4.36
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:86030] 1.24e-01 1.17e-01 -5.23e-05 1.27e-02 -8.89e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.24e-01 1.17e-01 -5.23e-05 1.27e-02 -8.89e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.76 14.06 -7.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.828 0.325 0.512 0.276 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.66 -1.38 4.73 14.06 -7.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.24e-01 1.17e-01 -5.23e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -61.1
## .. .. .. ..$ log.posterior.orig: num -56.7
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.87e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.87e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.87e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.861 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -40.4
## .. .. .. ..$ log.posterior.orig: num -36
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.73e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.73e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.73e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -60.9
## .. .. .. ..$ log.posterior.orig: num -56.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.96e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.96e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1548 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.96e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.393 -2 2.861 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -41.1
## .. .. .. ..$ log.posterior.orig: num -36.8
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.52e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.52e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.73 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.52e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -49.7
## .. .. .. ..$ log.posterior.orig: num -45.4
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.76e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.76e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.76e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -57.2
## .. .. .. ..$ log.posterior.orig: num -52.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.55e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.55e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.516 0.279 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.55e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2.001 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -57.6
## .. .. .. ..$ log.posterior.orig: num -53.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.44e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.44e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.44e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -65.1
## .. .. .. ..$ log.posterior.orig: num -60.7
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.23e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.23e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.23e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.75
## .. .. .. ..$ log.posterior.orig: num -3.39
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.57e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.57e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.57e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -15.2
## .. .. .. ..$ log.posterior.orig: num -10.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.36e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.36e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.516 0.279 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1548 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.36e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2.001 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -15.6
## .. .. .. ..$ log.posterior.orig: num -11.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.24e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.24e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.24e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -23.1
## .. .. .. ..$ log.posterior.orig: num -18.7
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.03e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.03e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.03e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -22.9
## .. .. .. ..$ log.posterior.orig: num -18.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.78e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.78e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.277 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.78e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.862 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -30.3
## .. .. .. ..$ log.posterior.orig: num -26
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.57e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.57e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.57e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -30.7
## .. .. .. ..$ log.posterior.orig: num -26.3
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.46e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.46e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.98 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.98 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.46e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -38.1
## .. .. .. ..$ log.posterior.orig: num -33.8
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.25e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.25e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.73 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.25e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -29.4
## .. .. .. ..$ log.posterior.orig: num -25
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.56e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.56e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.7 13.89 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.836 0.328 0.517 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.67 13.89 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.56e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -36.8
## .. .. .. ..$ log.posterior.orig: num -32.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.35e-05 1.28e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.35e-05 1.28e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.64 -1.37 4.7 13.88 -7.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.837 0.328 0.517 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.67 13.88 -7.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.35e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -37.2
## .. .. .. ..$ log.posterior.orig: num -32.8
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.24e-05 1.28e-02 -8.83e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.24e-05 1.28e-02 -8.83e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.64 -1.37 4.69 13.88 -7.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.837 0.328 0.517 0.28 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.67 13.88 -7.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.24e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -44.7
## .. .. .. ..$ log.posterior.orig: num -40.3
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.02e-05 1.28e-02 -8.83e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.02e-05 1.28e-02 -8.83e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.64 -1.36 4.69 13.87 -7.69 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.837 0.329 0.518 0.28 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.36 4.66 13.87 -7.69 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.02e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -30.3
## .. .. .. ..$ log.posterior.orig: num -26
## .. .. .. ..$ mean : num [1:86030] 1.24e-01 1.17e-01 -4.69e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.24e-01 1.17e-01 -4.69e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14.02 -7.78 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.829 0.326 0.513 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 14.02 -7.78 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.24e-01 1.17e-01 -4.69e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -37.8
## .. .. .. ..$ log.posterior.orig: num -33.4
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -4.48e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -4.48e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14.01 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.83 0.326 0.513 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 14.01 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -4.48e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2.001 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -38.1
## .. .. .. ..$ log.posterior.orig: num -33.8
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -4.36e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -4.36e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.83 0.326 0.514 0.277 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 14 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -4.36e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -45.6
## .. .. .. ..$ log.posterior.orig: num -41.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -4.15e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -4.15e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -4.15e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -36.8
## .. .. .. ..$ log.posterior.orig: num -32.4
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.47e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.47e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.47e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -44.3
## .. .. .. ..$ log.posterior.orig: num -39.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.26e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.26e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.26e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -44.6
## .. .. .. ..$ log.posterior.orig: num -40.3
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -2.15e-05 1.27e-02 -8.83e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -2.15e-05 1.27e-02 -8.83e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.7 13.9 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.517 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.67 13.9 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -2.15e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -52.1
## .. .. .. ..$ log.posterior.orig: num -47.8
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.93e-05 1.28e-02 -8.83e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.93e-05 1.28e-02 -8.83e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.7 13.89 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.836 0.328 0.517 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.67 13.89 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1548 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.93e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -51.9
## .. .. .. ..$ log.posterior.orig: num -47.6
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.69e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.69e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.69e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -59.4
## .. .. .. ..$ log.posterior.orig: num -55
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.48e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.48e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.96 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.96 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.48e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -59.8
## .. .. .. ..$ log.posterior.orig: num -55.4
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.37e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.37e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.37e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -67.2
## .. .. .. ..$ log.posterior.orig: num -62.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.15e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.15e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.15e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.92
## .. .. .. ..$ log.posterior.orig: num -5.56
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.49e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.49e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.73 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.49e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -17.4
## .. .. .. ..$ log.posterior.orig: num -13
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.28e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.28e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.96 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.96 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.28e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -17.8
## .. .. .. ..$ log.posterior.orig: num -13.4
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.17e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.17e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.17e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -25.2
## .. .. .. ..$ log.posterior.orig: num -20.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.96e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.96e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.96e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -0.999 0.347 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -28.9
## .. .. .. ..$ log.posterior.orig: num -24.6
## .. .. .. ..$ mean : num [1:86030] 1.24e-01 1.17e-01 -4.16e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.24e-01 1.17e-01 -4.16e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14.01 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.83 0.326 0.513 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 14.01 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.24e-01 1.17e-01 -4.16e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.347 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -36.4
## .. .. .. ..$ log.posterior.orig: num -32
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.95e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.95e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14.01 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.83 0.326 0.513 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 14.01 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.95e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2.001 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -36.8
## .. .. .. ..$ log.posterior.orig: num -32.4
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.84e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.84e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.277 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 14 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.84e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -44.2
## .. .. .. ..$ log.posterior.orig: num -39.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.63e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.63e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1712 0.1548 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.63e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -35.4
## .. .. .. ..$ log.posterior.orig: num -31.1
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.94e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.94e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.94e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -42.9
## .. .. .. ..$ log.posterior.orig: num -38.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.73e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.73e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.7 13.9 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.836 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.9 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.73e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -43.3
## .. .. .. ..$ log.posterior.orig: num -38.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.62e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.62e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.7 13.9 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.836 0.328 0.517 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.67 13.9 -7.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.62e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -50.7
## .. .. .. ..$ log.posterior.orig: num -46.4
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.18e-01 -1.41e-05 1.28e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.18e-01 -1.41e-05 1.28e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.64 -1.37 4.7 13.89 -7.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.836 0.328 0.517 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.67 13.89 -7.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1548 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.18e-01 -1.41e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -50.6
## .. .. .. ..$ log.posterior.orig: num -46.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.16e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.16e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.16e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -58
## .. .. .. ..$ log.posterior.orig: num -53.7
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.95e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.95e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.95e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -58.4
## .. .. .. ..$ log.posterior.orig: num -54
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.84e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.84e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.84e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -65.9
## .. .. .. ..$ log.posterior.orig: num -61.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.63e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.63e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.63e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -8.55
## .. .. .. ..$ log.posterior.orig: num -4.19
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.97e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.97e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.97e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -16
## .. .. .. ..$ log.posterior.orig: num -11.7
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.76e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.76e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.96 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.69 13.96 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.76e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -16.4
## .. .. .. ..$ log.posterior.orig: num -12
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.65e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.65e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.833 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.95 -7.74 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.65e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -23.8
## .. .. .. ..$ log.posterior.orig: num -19.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.43e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.43e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.43e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -58
## .. .. .. ..$ log.posterior.orig: num -53.7
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -4.06e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -4.06e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -4.06e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -65.5
## .. .. .. ..$ log.posterior.orig: num -61.1
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.85e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.85e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.98 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.98 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.85e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2.001 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -65.9
## .. .. .. ..$ log.posterior.orig: num -61.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.74e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.74e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.37 4.73 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.74e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -73.3
## .. .. .. ..$ log.posterior.orig: num -69
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.53e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.53e-05 1.27e-02 -8.87e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1618 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.53e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.86 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -16
## .. .. .. ..$ log.posterior.orig: num -11.6
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.87e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.87e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.99 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.87e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -23.5
## .. .. .. ..$ log.posterior.orig: num -19.1
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.66e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.66e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.73 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.831 0.326 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.98 -7.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.66e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -23.8
## .. .. .. ..$ log.posterior.orig: num -19.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.55e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.55e-05 1.27e-02 -8.86e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.37 4.73 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.514 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.7 13.97 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.55e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -2 2.861 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -31.5
## .. .. .. ..$ log.posterior.orig: num -27.1
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -3.34e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -3.34e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.37 4.7 13.96 -7.75 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -3.34e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -0.999 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -31.1
## .. .. .. ..$ log.posterior.orig: num -26.8
## .. .. .. ..$ mean : num [1:86030] 1.24e-01 1.17e-01 -5.08e-05 1.27e-02 -8.89e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.24e-01 1.17e-01 -5.08e-05 1.27e-02 -8.89e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.75 14.04 -7.79 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.828 0.325 0.512 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.66 -1.38 4.72 14.04 -7.79 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.24e-01 1.17e-01 -5.08e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -38.6
## .. .. .. ..$ log.posterior.orig: num -34.2
## .. .. .. ..$ mean : num [1:86030] 1.24e-01 1.17e-01 -4.87e-05 1.27e-02 -8.89e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.24e-01 1.17e-01 -4.87e-05 1.27e-02 -8.89e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.75 14.03 -7.78 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.829 0.326 0.513 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.72 14.03 -7.78 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0723 0.1711 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.24e-01 1.17e-01 -4.87e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -39.1
## .. .. .. ..$ log.posterior.orig: num -34.8
## .. .. .. ..$ mean : num [1:86030] 1.24e-01 1.17e-01 -4.76e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.24e-01 1.17e-01 -4.76e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14.02 -7.78 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.829 0.326 0.513 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.72 14.02 -7.78 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.24e-01 1.17e-01 -4.76e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -46.4
## .. .. .. ..$ log.posterior.orig: num -42
## .. .. .. ..$ mean : num [1:86030] 1.24e-01 1.17e-01 -4.55e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.24e-01 1.17e-01 -4.55e-05 1.27e-02 -8.88e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.66 -1.38 4.74 14.01 -7.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
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## .. .. .. .. .. ..@ x : num [1:656168] 0.83 0.326 0.513 0.277 0.216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.65 -1.38 4.71 14.01 -7.77 ...
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## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
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## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.24e-01 1.17e-01 -4.55e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -1.999 2.861 -1 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -37.6
## .. .. .. ..$ log.posterior.orig: num -33.2
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.87e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.87e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.72 13.94 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.515 0.278 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.94 -7.73 ...
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## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
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## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
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## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.87e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.391 -1.999 2.861 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -45.2
## .. .. .. ..$ log.posterior.orig: num -40.9
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.66e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.66e-05 1.27e-02 -8.85e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.327 0.516 0.279 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.69 13.93 -7.73 ...
## .. .. .. .. .. ..@ factors : list()
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.66e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.861 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -45.4
## .. .. .. ..$ log.posterior.orig: num -41.1
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.55e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.55e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.834 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.92 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.55e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -6.392 -2 2.862 -1.001 0.346 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -52.9
## .. .. .. ..$ log.posterior.orig: num -48.5
## .. .. .. ..$ mean : num [1:86030] 1.25e-01 1.17e-01 -2.34e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ improved.mean : num [1:86030] 1.25e-01 1.17e-01 -2.34e-05 1.27e-02 -8.84e-04 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 1.65 -1.37 4.71 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.835 0.328 0.516 0.279 0.218 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 1.64 -1.37 4.68 13.91 -7.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1415 -0.0722 0.171 0.1547 -0.1617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.6 14.8 16.8 17.4 13.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 1.71e+01 3.11 1.25e-01 1.17e-01 -2.34e-05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. ..$ max.log.posterior: num -108533
## ..$ nfunc : num 818
## ..$ warnings : chr "Stupid local search strategy used: This is usually a sign of a ill-defined model and/or non-informative data."
## ..$ opt.trace :List of 3
## .. ..$ f : Named num [1:122] 1430002 1427339 1427326 1427251 847362 ...
## .. .. ..- attr(*, "names")= chr [1:122] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ nfunc: Named int [1:122] 1 2 3 4 9 11 18 19 22 25 ...
## .. .. ..- attr(*, "names")= chr [1:122] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ theta: num [1:122, 1:7] 3.03e-08 3.03e-08 3.03e-08 3.03e-08 -7.45e-01 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : chr [1:122] "iter1" "iter2" "iter3" "iter4" ...
## .. .. .. ..$ : chr [1:7] "theta1" "theta2" "theta3" "theta4" ...
## ..$ theta.mode : num [1:7] -6.392 -2 2.862 -1 0.346 ...
## ..$ linkfunctions :List of 2
## .. ..$ names: chr "identity"
## .. ..$ link : int [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ family : int [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## $ dic :List of 14
## ..$ dic : num 115977
## ..$ p.eff : num 588
## ..$ mean.deviance : num 115389
## ..$ deviance.mean : num 114801
## ..$ dic.sat : num -10124
## ..$ mean.deviance.sat: num -10712
## ..$ deviance.mean.sat: num -8124
## ..$ family.dic : num 115977
## ..$ family.dic.sat : num -13300
## ..$ family.p.eff : num 588
## ..$ family : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ local.dic : num [1:14535] 10.59 6.11 7.4 9.71 9.29 ...
## ..$ local.dic.sat : num [1:14535] 4.894 0.182 1.702 -12.719 3.594 ...
## ..$ local.p.eff : num [1:14535] -0.0176 0.1354 0.0426 -0.0515 -0.026 ...
## $ mode :List of 5
## ..$ theta : Named num [1:7] -6.392 -2 2.862 -1 0.346 ...
## .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ x : num [1:186595] 21.8 14.1 24 29.2 10.4 ...
## ..$ theta.tags : chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ mode.status : num 0
## ..$ log.posterior.mode: num -108583
## $ joint.hyper :'data.frame': 4 obs. of 9 variables:
## ..$ log precision for the student-t observations: num [1:4] -6.39 -6.39 -6.39 -6.39
## ..$ dof_intern for student-t : num [1:4] -2 -2 -2 -2
## ..$ Theta1 for field : num [1:4] 2.86 2.86 2.86 2.86
## ..$ Theta2 for field : num [1:4] -1 -1 -1 -1
## ..$ Theta3 for field : num [1:4] 0.346 0.346 0.346 0.346
## ..$ Theta4 for field : num [1:4] 0.431 0.43 0.431 0.431
## ..$ Theta5 for field : num [1:4] 0.122 0.123 0.123 0.123
## ..$ Log posterior density : num [1:4] -108589 -108593 -108595 -108594
## ..$ Total integration weight (log.dens included): num [1:4] 0.94998 0.03198 0.00367 0.01436
## $ nhyper : int 7
## $ version :List of 2
## ..$ inla.call: chr "GITCOMMIT [dd38f0f7c6eb72df31ce7dd489d9352e91ffe0df - Thu Apr 25 18:31:00 2024 +0300]"
## ..$ R.INLA : Named chr "24.04.25-1"
## .. ..- attr(*, "names")= chr "version"
## $ Q : NULL
## $ graph : NULL
## $ ok : logi TRUE
## $ cpu.intern : chr [1:16] "Wall-clock time used on [/tmp/RtmpsXS2lu/file18744e36cb871d/Model.ini]" "Preparations : 0.247 seconds" "Approx inference (stage1): 881.676 seconds" "Approx inference (stage2): 0.002 seconds" ...
## $ cpu.used : Named num [1:4] 0.292 884.808 8.468 893.567
## ..- attr(*, "names")= chr [1:4] "Pre" "Running" "Post" "Total"
## $ all.hyper :List of 4
## ..$ predictor:List of 1
## .. ..$ hyper:List of 1
## .. .. ..$ theta:List of 9
## .. .. .. ..$ hyperid : num 53001
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "log precision"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name: chr "prec"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 13.8
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi TRUE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "loggamma"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1e+00 1e-05
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. ..$ BRU.E : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:14535] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:86030] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
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## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
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## .. .. .. ..$ short.name : chr "b14"
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## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
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## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
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## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
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## .. .. .. ..$ short.name : chr "b17"
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## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
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## .. .. .. ..$ short.name : chr "b18"
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## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
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## .. .. .. ..$ short.name : chr "b19"
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## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
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## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
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## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
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## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
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## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
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## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
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## .. .. .. ..$ short.name : chr "b27"
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## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
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## .. .. .. ..$ short.name : chr "b28"
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## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
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## .. .. .. ..$ short.name : chr "b29"
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## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta31 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
## .. .. .. ..$ hyperid : num 103046
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta47 :List of 11
## .. .. .. ..$ hyperid : num 103047
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta51 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta52 :List of 11
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## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta53 :List of 11
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## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta54 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta55 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta56 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta57 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta58 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta59 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta60 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta61 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta62 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta63 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta64 :List of 11
## .. .. .. ..$ hyperid : num 103064
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta65 :List of 11
## .. .. .. ..$ hyperid : num 103065
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta73 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta74 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta76 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta79 :List of 11
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## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta80"
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## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta81 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta82 :List of 11
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## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
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## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
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## .. ..- attr(*, "class")= chr [1:2] "ctrl_lp_scale" "inla_ctrl_object"
## ..$ control.pardiso :List of 4
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## .. ..$ debug : logi FALSE
## .. ..$ parallel.reordering: logi TRUE
## .. ..$ nrhs : num -1
## .. ..- attr(*, "class")= chr [1:2] "ctrl_pardiso" "inla_ctrl_object"
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## ..$ inla.call : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/inla.mkl.run"
## ..$ num.threads : chr "24:1"
## ..$ keep : logi FALSE
## ..$ silent : logi TRUE
## ..$ inla.mode : chr "compact"
## ..$ safe : logi TRUE
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## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 21507
## .. .. .. .. ..$ values : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x6397a4130020>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.96 -1.4 0 0
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 86028
## .. .. .. .. .. .. ..$ n_inla : num 86028
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 86028 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 86028
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "T"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x6397ada18210>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14535] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14535] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14535] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14535] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14535] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14535] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14535] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14535, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "T"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.25-1"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"nonstat.time.fin <- Sys.time()
print(nonstat.time.fin - nonstat.time.ini)## Time difference of 16.21476 minssummary(rspde_fit_nonstat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.25-1
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'T'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.292, Running = 885, Post = 8.47, Total = 894
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 17.080 0.097 16.889 17.080 17.270 17.080 0
## SpeedLimit 3.109 0.143 2.829 3.109 3.388 3.109 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## precision for the student-t observations 0.002 0.00 0.002 0.002
## degrees of freedom for student-t 2.135 0.00 2.135 2.135
## Theta1 for field 2.861 0.00 2.861 2.861
## Theta2 for field -1.000 0.00 -1.001 -1.000
## Theta3 for field 0.346 0.00 0.346 0.346
## Theta4 for field 0.431 0.00 0.430 0.431
## Theta5 for field 0.123 0.00 0.123 0.123
## 0.975quant mode
## precision for the student-t observations 0.002 0.002
## degrees of freedom for student-t 2.135 2.135
## Theta1 for field 2.862 2.862
## Theta2 for field -1.000 -1.000
## Theta3 for field 0.346 0.346
## Theta4 for field 0.431 0.431
## Theta5 for field 0.124 0.123
##
## Deviance Information Criterion (DIC) ...............: 115976.79
## Deviance Information Criterion (DIC, saturated) ....: -10123.87
## Effective number of parameters .....................: 587.84
##
## Watanabe-Akaike information criterion (WAIC) ...: 116662.18
## Effective number of parameters .................: 1256.96
##
## Marginal log-Likelihood: -108633.18
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')summary(rspde.result(rspde_fit_nonstat, "field", rspde_model_nonstat))## mean sd 0.025quant 0.5quant 0.975quant mode
## Theta1.matern 2.861430 0.000352260 2.860650 2.861460 2.862020 2.861620
## Theta2.matern -1.000120 0.000279877 -1.000670 -1.000120 -0.999562 -1.000130
## Theta3.matern 0.346030 0.000210224 0.345609 0.346032 0.346437 0.346041
## Theta4.matern 0.430866 0.000273158 0.430259 0.430889 0.431317 0.431010
## nu 0.796185 0.000108117 0.795962 0.796238 0.796364 0.7962301.3 Crossvalidation 1
#load(here("Models_output/distmatrixfixed.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 400, by = 20)/1000The code of chunk below was executed only one time.
{r}
load(here("Models_output/distmatrixfixed30_04_2024.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 400, by = 20)/1000
GROUPS <- list()
for (j in 1:length(distance)) {
print(j)
GROUPS[[j]] = list()
for (i in 1:nrow(points)) {
rowi = points[i, ]
GROUPS[[j]][[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
}
}
save(GROUPS, file = here("Models_output/GROUPS_for_window_case30_04_2024.RData"))The code of chunk above was executed only one time.
load(here("Models_output/GROUPS_for_window_case30_04_2024.RData"))
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
print(j)
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
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## [1] 21## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
## Error in plot.window(...): need finite 'ylim' values
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
## Error in plot.window(...): need finite 'ylim' values
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
save.image(here(paste0("Models_output/", rmarkdown::metadata$title, ".RData")))